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中文摘要：
针对目标在运动过程中的结构保持特性，提出一种目标结构化外观描述方法。该方法构建区域节点反映目标局部特性，定义区域节点的软/硬结构约束，将目标的局部特性、全局特性及区域节点的空间结构关系统一于目标的结构化描述中。通过匹配帧间局部区域的尺度不变特征转换流，粗略估计目标运动状态，并利用区域节点的软/硬结构约束对跟踪结果进行约束调整，称为适应性结构保持。公测视频序列的实验表明，相比已有方法，文中方法能更有效跟踪形变、阴影与光照变化下的目标，对目标与背景相似和视频低分辨率等情况也有较高的跟踪性能，具有强鲁棒性和一定的泛化能力。
英文摘要：
With structure preserving property in tracking, a representation method for object structural appearance is proposed. In the proposed method, regional nodes are built to describe the local property of the object. And several soft/hard constraints are defined on regional nodes so that local and global properties of the object and the spatial structure of regional nodes are unified and described by the object structural representation. During the tracking procedure, state of objects can be roughly estimated by matching scale-invariant feature transform （ SIFT） flow of local regions between successive frames. Then, through soft/hard constraints on regional nodes, the tracking result can be adaptively adjusted, which is called adaptive structure-preserving （ ASP ） . Experimental results show that ASP performs better than other methods in tracking objects with deformation, shadows and illumination changes. Furthermore, ASP shows robustness and good generalization ability when the resolution of video sequences is low and the object is similar to the background.
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